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Hong Kong's stablecoin licensing regime takes effect, requiring issuers to get approval from the Monetary Authority, comply with AML protocols, and more (Callan Quinn/Decrypt)
https://decrypt.co/333078/hong-kong-kicks-off-stablecoin-licens…

Hong Kong Kicks Off Stablecoin Licensing Regime With Eye on Global Hub
Hong Kong’s new stablecoin licensing regime takes effect, tightening rules as the city vies for a global crypto edge.

Weyl-Superconductivity revealed by Edge Mode mediated Nonlocal Transport
Wenyao Liu, Gabriel Natale, Camron Farhang, Michael Geiwitz, Kewen Huang, Qishuo Tan, Xingyao Guo, Mason Gray, Vincent Lamberti, Jazzmin Victorin, Huairuo Zhang, James L. Hart, Vsevolod Belosevich, Xi Ling, Qiong Ma, Wan Kyu Park, Kenji Watanabe, Takashi Taniguchi, Judy J. Cha, Albert V. Davydov, Kin Chung Fong, Ethan Arnault, Genda Gu, Rui-Xing Zhang, Enrico Rossi, Jing Xia, Kenneth S. Burch

Weyl-Superconductivity revealed by Edge Mode mediated Nonlocal Transport
Topological superconductivity (TSC) hosts exotic modes enabling error-free quantum computation and low-temperature spintronics. Despite preliminary evidence of edge modes, unambiguous signatures remain undetected. Here, we report the first observation of protected, non-local transport from the edge modes of the potential Weyl-superconductor \ch{FeTe_{0.55}Se_{0.45}}. Namely resonant charge injection, ballistic transport, and extraction via edge modes. An anomalous conductance plateau emerges on…

RENE experiment for the sterile neutrino search using reactor neutrinos
Byeongsu Yang, Da Eun Jung, Dong Ho Moon, Eungyu Yun, HyeonWoo Park, Jae Sik Lee, Jisu Park, Ji Young Choi, Junkyo Oh, Kyung Kwang Joo, Ryeong Gyoon Park, Sang Yong Kim, Sunkyu Lee, Insung Yeo, Myoung Youl Pac, Jee-Seung Jang, Eun-Joo Kim, Hyunho Hwang, Junghwan Goh, Wonsang Hwang, Jiwon Ryu, Jungsic Park, Kyu Jung Bae, Mingi Choe, SeoBeom Hong, Jubin Park, Myung-Ki Cheoun, Hyunsoo Kim, Han Il Jang, Dojin Kim, Jong…

RENE experiment for the sterile neutrino search using reactor neutrinos
This paper summarizes the details of the Reactor Experiment for Neutrinos and Exotics (RENE) experiment. It covers the detector construction, Monte Carlo (MC) simulation study, and physics expectations. The primary goal of the RENE project is to investigate the sterile neutrino oscillation at $Δ{m}^{2}_{41}\sim 2\,{\rm{eV}^{2}}$. which overlap with the allowed region predicted by the Reactor Antineutrino Anomaly (RAA). On the other hand, the STEREO and PROSPECT experiments have excluded certai…

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang
https://arxiv.org/abs/2506.20639

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
Diffusion large language models (dLLMs) are compelling alternatives to autoregressive (AR) models because their denoising models operate over the entire sequence. The global planning and iterative refinement features of dLLMs are particularly useful for code generation. However, current training and inference mechanisms for dLLMs in coding are still under-explored. To demystify the decoding behavior of dLLMs and unlock their potential for coding, we systematically investigate their denoising pr…

GPUnion: Autonomous GPU Sharing on Campus
Yufang Li (The Hong Kong University of Science,Technology), Yuanbo Zhang (Sun Yat-sen University), Hanlong Liao (National University of Defense Technology), Guoming Tang (The Hong Kong University of Science,Technology), Deke Guo (Sun Yat-sen University)
https://arxiv.org/abs/2507.18928

GPUnion: Autonomous GPU Sharing on Campus
A pronounced imbalance in GPU resources exists on campus, where some laboratories own underutilized servers while others lack the compute needed for AI research. GPU sharing can alleviate this disparity, while existing platforms typically rely on centralized oversight and persistent allocation models, conflicting with the voluntary and autonomous nature of academic resource ownership. We present GPUnion, a campus-scale GPU sharing platform enabling voluntary participation while preserving full …

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
Hyunwoo Lee, Jihyeong Jeon, Jaemin Hong, U Kang
https://arxiv.org/abs/2508.20108

Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
How can we address distribution shifts in stock price data to improve stock price prediction accuracy? Stock price prediction has attracted attention from both academia and industry, driven by its potential to uncover complex market patterns and enhance decisionmaking. However, existing methods often fail to handle distribution shifts effectively, focusing on scaling or representation adaptation without fully addressing distributional discrepancies and shape misalignments between training and t…

Optical Switching of Moir\'e Chern Ferromagnet
Xiangbin Cai, Haiyang Pan, Yuzhu Wang, Abdullah Rasmita, Shunshun Yang, Yan Zhao, Wei Wang, Ruihuan Duan, Ruihua He, Kenji Watanabe, Takashi Taniguchi, Zheng Liu, Jes\'us Z\'u\~niga P\'erez, Bo Yang, Weibo Gao
https://arxiv.org/abs/2508.19602

Optical Switching of Moiré Chern Ferromagnet
Optical manipulation of quantum matter offers a non-contact, high-precision and fast control. Fractional Chern ferromagnet states in moiré superlattices are promising for topological quantum computing, but an effective optical control protocol has remained elusive. Here, we demonstrate robust optical switching of integer and fractional Chern ferromagnets in twisted MoTe2 bilayers using circularly polarized light. Highly efficient optical manipulation of spin orientations in the topological fer…

DIFFA: Large Language Diffusion Models Can Listen and Understand
Jiaming Zhou, Hongjie Chen, Shiwan Zhao, Jian Kang, Jie Li, Enzhi Wang, Yujie Guo, Haoqin Sun, Hui Wang, Aobo Kong, Yong Qin, Xuelong Li
https://arxiv.org/abs/2507.18452

DIFFA: Large Language Diffusion Models Can Listen and Understand
Recent advances in Large language models (LLMs) have shown remarkable capabilities across textual and multimodal domains. In parallel, diffusion-based language models have emerged as a promising alternative to the autoregressive paradigm, offering improved controllability, bidirectional context modeling, and robust generation. However, their application to the audio modality remains underexplored. In this work, we introduce \textbf{DIFFA}, the first diffusion-based Large Audio-Language Model de…

Ben PinePhone'u bekliyordum ama geleceği yok. Yurtdışından getirince de vergisi kendisinin değerinin neredeyse 3 katı.
https://pine64.com/product/pinephone-pro-explorer-edition/

Towards AI Search Paradigm
Yuchen Li, Hengyi Cai, Rui Kong, Xinran Chen, Jiamin Chen, Jun Yang, Haojie Zhang, Jiayi Li, Jiayi Wu, Yiqun Chen, Changle Qu, Keyi Kong, Wenwen Ye, Lixin Su, Xinyu Ma, Long Xia, Daiting Shi, Jiashu Zhao, Haoyi Xiong, Shuaiqiang Wang, Dawei Yin
https://arxiv.org/abs/2506.17188

Towards AI Search Paradigm
In this paper, we introduce the AI Search Paradigm, a comprehensive blueprint for next-generation search systems capable of emulating human information processing and decision-making. The paradigm employs a modular architecture of four LLM-powered agents (Master, Planner, Executor and Writer) that dynamically adapt to the full spectrum of information needs, from simple factual queries to complex multi-stage reasoning tasks. These agents collaborate dynamically through coordinated workflows to e…